Global thresholding based on improved histogram for chalk area segmentation in rice quality evaluation

التفاصيل البيبلوغرافية
العنوان: Global thresholding based on improved histogram for chalk area segmentation in rice quality evaluation
المؤلفون: Pakaket Wattuya, Peerapat Itharat, Chakrit Watcharopas, Tanee Sreewongchai
المصدر: Twelfth International Conference on Digital Image Processing (ICDIP 2020).
بيانات النشر: SPIE, 2020.
سنة النشر: 2020
مصطلحات موضوعية: business.industry, Computer science, Histogram, media_common.quotation_subject, Pattern recognition, Segmentation, Quality (business), Artificial intelligence, business, Thresholding, media_common
DOI: 10.1117/12.2572963
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::833bfdefaab6697ee634fa9332f7e278
https://doi.org/10.1117/12.2572963
رقم الانضمام: edsair.doi...........833bfdefaab6697ee634fa9332f7e278
قاعدة البيانات: OpenAIRE